Partially fixing numerical underflow for mixture models

In a mixture model the probability of an event \(x\) is written \(P(x=X) =\sum_{i}\pi_{i}P_{i}(x=X) \), where \(\pi_{i}\) is the probability of the point belonging to mixture \(i\) and \(P_{i}(x=X) \) is the probability of the event \(x=X\) in the \(i\)-th mixture. The problem is usually that the \(P_i\) are small which makes underflow happen when […]

How to manage a (paper) deadline - 9 rules (to rule them all)

The last couple of weeks have been fraught with a paper deadline. My second one. Times have been stressful. The paperĀ involvedĀ starting up from scratch, learning a new programming language, and how to work a robotic arm all in less than one and a half month. One of the realizations I had was that setting up […]

A short explanation / tutorial of the Kalman filter

In my list of methods to explain I have now come to the Kalman filter. This is a short summary of the tutorial of Welch and Bishop which can be found here. I have been reading up on pose recognition and a lot of people seem to be using it to track parts moving across […]